2 months ago
London, United KingdomMid Level / Senior
H1B Sponsor
Responsibilities
- Design and build scalable data solutions using BigQuery and GCP-native tooling.
- Develop and deploy ML and AI solutions, including LLM-based and agentic systems.
- Work with tools such as Gemini to power conversational and analytical use cases.
- Build and integrate analytical agents into real-world applications.
- Implement evaluation frameworks to assess model and system performance.
- Orchestrate APIs and enable seamless integration between models, data pipelines, and applications.
- Apply modern MLOps and engineering best practices to deploy and maintain solutions in production.
- Define and assess the quality and timeliness of available data sources.
- Translate business challenges into scalable data and AI solutions.
- Communicate complex technical concepts clearly to non-technical stakeholders.
- Lead client conversations to shape data and analytics solutions.
- Work closely with cross-functional teams (engineering, product, business).
- Help shape opportunities where conversational analytics and AI can drive value.
Requirements
- Strong experience as a Data Engineer / Tech Lead within GCP.
- Deep expertise in BigQuery and cloud-based data architectures.
- Hands-on experience building and integrating ML / AI models into applications.
- Experience with LLMs, RAG, embeddings, or agentic AI systems.
- Strong programming skills (Python, SQL).
- Experience with API orchestration and system integration.
- Familiarity with evaluation pipelines and version control (Git).
- Strong communicator who can bridge technical and business teams.
- Curious, pragmatic problem solver with a focus on impact.
- Comfortable working in ambiguity and shaping new AI-driven solutions.
- Collaborative mindset with the ability to guide and influence others.
Benefits
- Flexibility, with remote and hybrid work options (country-dependent).
- Career advancement, with international mobility and professional development programs.
- Learning and development, with access to cutting-edge tools, training and industry experts.
Tech Stack
Categories
AI & MLData Engineering